Machine Learning Engineer

Synapse Tech Services Inc; Plano (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Synapse Tech Services Inc. in Plano, TX is seeking a Senior AI/ML Full Stack Engineer with 7–10+ years of experience to design and deploy production-grade AI applications using Java or Python.

You'll work in an in-office environment delivering end-to-end AI/ML solutions, including RAG pipelines and agent orchestration, with strong emphasis on responsible AI practices. You will build vector-store pipelines (Pinecone, OpenSearch, pgvector, FAISS), craft LLM orchestration with LangChain and related

Qualifications

• Bachelor's degree required.
• 10+ years software development, or 7+ years full-stack + agentic AI experience.
• 2+ years building AI/ML apps in production.
• Proficiency with RAG architectures and vector stores.
• Experience with AI orchestration frameworks: LangChain, LlamaIndex, Semantic Kernel, or CrewAI.
• Hands-on with AWS Bedrock, Claude models, and model invocation APIs.
• Strong prompt engineering and API design skills.
• Experience with chatbots and voicebots.

Responsibilities

• Design and build AI/ML applications end-to-end from architecture to production deployment.
• Implement RAG pipelines with chunking, embeddings, and vector store integration.
• Orchestrate AI agents using LangChain, LlamaIndex, Semantic Kernel, or CrewAI.
• Develop and deploy solutions on AWS Bedrock and Claude APIs.
• Apply advanced prompt engineering and build conversational AI experiences.
• Design and maintain REST/GraphQL APIs, microservices, and event-driven systems.
• Own CI/CD pipelines and infrastructure-as-code for production systems.
• Implement guardrails and responsible AI practices across features.

Skills

Full stack development

AI/ML production

Java

Python

Agentic AI

RAG architectures

LLM orchestration

CI/CD

AWS

Education

Bachelor's degree

Tools

Pinecone

OpenSearch

pgvector

FAISS

LangChain

LlamaIndex

Semantic Kernel

CrewAI

Docker

ECS/EKS

Job description

Note: Looking for Ex-JPMC Candidates with OPT, CPT, GC or USC Visas for Fulltime only.

Who You Are

You are a Senior AI/ML Full Stack Engineer who brings deep hands-on experience building production-grade AI applications with Java or Python. You've spent 7-10+ years mastering full-stack development and have moved confidently into agentic AI, RAG architectures, and LLM orchestration. You're just as comfortable designing a vector store retrieval pipeline as you are hardening a CI/CD deployment on AWS. You thrive in fast-paced, in-office environments where live coding and hands-on problem solving are part of the culture, and you're excited to bring responsible AI practices — guardrails, evaluation frameworks, and content filtering — into everything you build.

What You'll Do

• Design and build AI/ML applications end-to-end, from architecture through production deployment
• Implement RAG pipelines, including chunking strategies, embedding models, and vector store integration (Pinecone, OpenSearch, pgvector, FAISS)
• Build and orchestrate AI agents using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI
• Develop and deploy solutions using AWS Bedrock, Anthropic Claude models, and model invocation APIs
• Apply advanced prompt engineering techniques — system prompts, few-shot, chain-of-thought, tool use, structured outputs
• Build conversational AI experiences, including chatbots (text) and voicebots (speech-to-text, text-to-speech)
• Design and maintain APIs (REST, GraphQL), microservices, and event-driven architectures
• Own CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code for production systems
• Implement evaluation frameworks, guardrails, content filtering, and responsible AI practices across LLM-powered features

What You Bring

• Bachelor's degree required
• 10+ years of software development experience (Java or Python), OR 7+ years if entirely full-stack + Agentic AI development experience
• 2+ years hands-on experience building AI/ML applications in production
• Strong proficiency with RAG architectures — chunking strategies, embedding models, vector stores (Pinecone, OpenSearch, pgvector, FAISS)
• Experience with AI orchestration frameworks: LangChain, LlamaIndex, Semantic Kernel, or CrewAI
• Hands-on experience with AWS Bedrock, Anthropic Claude models, and model invocation APIs
• Proven prompt engineering skills — system prompts, few-shot, chain-of-thought, tool use, structured outputs
• Experience building conversational AI: chatbots (text) and voicebots (speech-to-text, text-to-speech)
• Proficiency with AWS services (Lambda, Step Functions, API Gateway, S3, DynamoDB, SQS)
• Experience with CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code
• Strong understanding of API design (REST, GraphQL), microservices architecture, and event-driven systems
• Familiarity with evaluation frameworks for LLM outputs
• Experience with guardrails, content filtering, and responsible AI practices